library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Stuttgart <- sunrise.set(48.7758459,9.1829321, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Stuttgart$sunrise
sunset <- Stuttgart$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Stuttgart["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Stuttgart["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Stuttgart["timestamp"] <- align.time(Stuttgart$sunrise, 60*10)
Stuttgart <- Stuttgart[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Stuttgart, aes(x=Stuttgart$timestamp)) + geom_line(aes(y=Stuttgart$sr)) + geom_line(aes(y=Stuttgart$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Stuttgart 2024", x = "Datum", y = "Zeit")
pdf("Stuttgart_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Stuttgart_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Stuttgart["Sonnenaufgang"] <- strftime(Stuttgart$sr, format="%H:%M")
Stuttgart["Sonnenuntergang"] <- strftime(Stuttgart$ss, format="%H:%M")
write.table(Stuttgart, file="Stuttgart_SaSu.csv", dec=',', sep=';', row.names=FALSE)